/** * Returns a string describing this attribute evaluator * @return a description of the evaluator suitable for * displaying in the explorer/experimenter gui */ public String globalInfo() { return " Meta classifier that enhances the performance of a regression " +"base classifier. Each iteration fits a model to the residuals left " +"by the classifier on the previous iteration. Prediction is " +"accomplished by adding the predictions of each classifier. " +"Reducing the shrinkage (learning rate) parameter helps prevent " +"overfitting and has a smoothing effect but increases the learning " +"time.\n\n" +"For more information see:\n\n" + getTechnicalInformation().toString(); }
/** * Returns a string describing this attribute evaluator * @return a description of the evaluator suitable for * displaying in the explorer/experimenter gui */ public String globalInfo() { return " Meta classifier that enhances the performance of a regression " +"base classifier. Each iteration fits a model to the residuals left " +"by the classifier on the previous iteration. Prediction is " +"accomplished by adding the predictions of each classifier. " +"Reducing the shrinkage (learning rate) parameter helps prevent " +"overfitting and has a smoothing effect but increases the learning " +"time.\n\n" +"For more information see:\n\n" + getTechnicalInformation().toString(); }